2008
DOI: 10.7153/jmi-02-06
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Weighted L_p-norm inequalities in convolutions and their applications

Abstract: Abstract. In this paper, we give some new type of convolution inequalities in weighted L p (R 2 , dxdy) spaces and their important applications to partial differential equations and integral transforms. Especially, we will see their applications to non-homogeneous linear differential equations.

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Cited by 15 publications
(4 citation statements)
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“…Next, in a series of papers [13][14][15][16][17] (see also [18][19][20][21]), Nhan et al considered a different generalization of the standard convolution, denoted by * ϕ , defined by…”
Section: Introductionmentioning
confidence: 99%
“…Next, in a series of papers [13][14][15][16][17] (see also [18][19][20][21]), Nhan et al considered a different generalization of the standard convolution, denoted by * ϕ , defined by…”
Section: Introductionmentioning
confidence: 99%
“…For other convolutions and integral operators, while not being exhaustive, we refer the reader to [1,2,3,8,12,13,14,15,16,17,18,22,25,26,28]. In addition, it is relevant to have in mind that the factorization property of convolutions is crucial in solving corresponding convolution type equations [6,7,11,25].…”
Section: Introductionmentioning
confidence: 99%
“…Proposition 2.5 was expanded in various directions with applications to inverse problems and partial differential equations through L p (p > 1) versions and converse inequalities. See, for example, [6][7][8][19][20][21][22][23][24][25][26][27][28][29].…”
Section: Examplementioning
confidence: 99%
“…In particular, for the product of two Hilbert spaces, the idea gives generalizations of convolutions and the related natural convolution norm inequalities. These norm inequalities gave various generalizations and applications to forward and inverse problems for linear partial differential equations, see for example, [4,[6][7][8][19][20][21][22][23][24][25][26][27][28][29]. Furthermore, surprisingly enough, for some very general nonlinear systems, we can consider similar problems (see [26] for details).…”
mentioning
confidence: 99%